14 Nov19 Issue #60 – Character-based Neural Machine Translation with Transformers Author: Dr. Patrik Lambert, Machine Translation Scientist @ Iconic We saw in issue #12 of this blog how character-based recurrent neural networks (RNNs) could outperform (sub)word-based models if the network is deep enough. However, character sequences are much longer than subword ones, which is not easy to deal with in  RNNs. In this post, we discuss how the Transformer architecture changes the situation for character-based models. We take a […]